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Evalyze now turns 6 months of startup fundraising into 6 weeks. Used by 11,500+ founders from Y Combinator, Techstars, and Antler. PLATFORM UPDATE 1- Managed Fundraising Launched – We Run Your Raise For You Same engine, run by our team. We handle investor research, personalized outreach, meeting booking, and pipeline coaching so you stay focused on building. Flat monthly fee. No success fees or equity, ever. You now have two ways to raise: self-serve from $10/month, or hand the whole thing to us. 2- 1,000+ Verified Investors Added (16,000+ Total) More VCs and angels with current thesis, recent deal activity, active check sizes, and verified contact info. Filter by stage, sector, geography, and co-investor patterns to build a tighter target list. 3- Next Up: Outreach Ships This Month Eva will write investor-specific emails tuned to each fund's thesis and send them from your own Gmail, with every reply tracked in one inbox. In beta, founders sent 3.5x more investor messages than the manual flow. Hit Notify Me above so you don't miss the release.
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AI fills out your PDF forms — then notarizes them by videoOpen - SponsorFlow - 4x faster than typing🎤 Dictation
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KHaled Alazab🙏 14 karmaJan 24, 2025@AI Auto Apply | AIApplyPoor customer service, no response. -
File and enforce mechanics liens. AI does the paperwork, licensed lawyers file.Open -
one of the best AI based legal tech solution to review contracts with accuracy and data security
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Trapped in a vendor contract? AI shows you the way out.Open - Didn't find the AI you were looking for?
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Really interesting approach with SquareGen. Quick observation: the product is framed as LLM credit scoring, but lenders don’t buy models — they buy lower default rates. If a lender with a $100M book drops defaults by even 1%, that’s ~$1M saved annually. Positioning around credit loss reduction could massively change the commercial narrative. Happy to share a few thoughts.
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Tested the fit scoring idea and it actually feels useful for filtering applications instead of blindly mass applying everywhere.
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